Experiment was conducted in Baghdad, three factor were used in this research included Two types of Plows included moldboard and disk plows which represented the main plot, Three forward speeds of the tillage was the second factor included 1.85, 3.75 and 5.62 km / h which represented sup plot , and Three levels of Soil Moisture was third factor included 21, 18 and 14 % in all of Vertical and Lateral Plowing Deviation, Practical and specific productivity, actual time for plowing one donam and appearance (goodness) of Tillage represented by the number of clods > 10 cm in silt clay loam soil with depth 22 cm were studied. the experiment was used Split – split plot design under randomized complete block design with three replications and Least Significant Design 5 % was used to compare the means of treatments . Mold-board plow recorded the best Practical and specific productivity for plowing which was 1.247 donam/ hr and 2379 m / hr, and lower actual time for plowing one donam 0.972 hr and Appearance Tillage number of clods > 10 cm was 9.555 clods/m2 , Disc Plow recorded the least Vertical and Lateral Deviation for Plowing which was 2.325% and 2.357% . Tillage Speed 5.62 km/hr recorded higher Practical and specific productivity 1.672 donam/hr and 3452 m/hr respectively and lower actual time 0.608 hr and number of clods > 10 cm was 8.166 clods/m2, Speed 1.85 km/hr recorded lower Vertical and Lateral Deviation Plowing 1.221% and 1.068% respectively. Soil Moisture 18 % recorded higher Practical and specific productivity 1.168 donam /hr and 2400 m /hr respectively, lower actual time 1.047 hr and lower number of clods > 10 cm was 9.500 clods/m2. Soil Moisture 21% recorded lower Vertical and Lateral Deviation for Plowing 1.978% and 1.901% respectively. All Interactions among treatments had significant effect on the parameters studded under this experiment.
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With the development of communication technologies for mobile devices and electronic communications, and went to the world of e-government, e-commerce and e-banking. It became necessary to control these activities from exposure to intrusion or misuse and to provide protection to them, so it's important to design powerful and efficient systems-do-this-purpose. It this paper it has been used several varieties of algorithm selection passive immune algorithm selection passive with real values, algorithm selection with passive detectors with a radius fixed, algorithm selection with passive detectors, variable- sized intrusion detection network type misuse where the algorithm generates a set of detectors to distinguish the self-samples. Practica
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This research describes a new model inspired by Mobilenetv2 that was trained on a very diverse dataset. The goal is to enable fire detection in open areas to replace physical sensor-based fire detectors and reduce false alarms of fires, to achieve the lowest losses in open areas via deep learning. A diverse fire dataset was created that combines images and videos from several sources. In addition, another self-made data set was taken from the farms of the holy shrine of Al-Hussainiya in the city of Karbala. After that, the model was trained with the collected dataset. The test accuracy of the fire dataset that was trained with the new model reached 98.87%.
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In addition to being a novel medication in treating obesity and type 2 diabetes mellitus, tirzepatide is currently being studied to assess its effectiveness and safety on various health parameters, specifically with an emphasis on the neurological field, including sleep medicine and neurodegenerative conditions. In this perspective, we highlight the recent FDA approval of tirzepatide’s use for the treatment of obstructive sleep apnea, with recommendations for future research to extend use in children and adolescents.
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This study was conducted with the aim to extract and purify a polyphenolic compound “ Resveratrol†from the skin of black grapes Vitis vinifera cultivated in Iraq. The purified resveratrol is obtained after ethanolic extraction with 80% v/v solution for fresh grape skin, followed by acid hydrolysis with 10% HCl solution then the aglycon moiety was taken with organic solvent
( chloroform). Using silica gel G60 packed glass column chromatography with mobile phase benzene: methanol: acetic acid 20:4:1 a
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